Staff Technical Program Manager, Data Center New Product Introduction

The role

This person will lead Data Center New Product Introduction to prepare new AI systems and infrastructure designs for deployment at scale. They will connect hardware and systems engineering with facility design, supply chain, networking, commissioning, and operations.

What you will do

• Own the cross-functional NPI plan for new system generations, rack configurations, and supporting infrastructure.
• Translate engineering specifications into deployment requirements.
• Drive design and readiness reviews with engineering and deployment teams.
• Coordinate initial deployment and validation plans.
• Maintain the integrated risk and issue register.
• Lead change control across specifications, bills of materials, firmware and software dependencies, deployment procedures, and site requirements.
• Define repeatable deployment packages with the technical teams.
• Drive readiness recommendations and executive escalations.

Required qualifications

• Experience leading complex NPI, systems integration, hardware infrastructure, or deployment programs from early requirements through production or operational readiness.
• Track record of Staff-level program ownership across engineering and operations teams.
• Technical understanding of data center systems and the relationships among compute, networking, power, cooling, rack integration, and facility readiness.
• Experience defining readiness gates, validation plans, acceptance criteria, and issue resolution processes for new technology introductions.
• Ability to manage configuration dependencies, engineering changes, critical paths, and technical risks across several concurrent workstreams.
• Strong communication and documentation skills.

Nice to have

• Experience deploying AI accelerators, high-performance computing systems, high-density racks, or liquid-cooled infrastructure.
• Experience with initial site deployments, rack integrators, commissioning teams, and transitions from engineering validation to repeatable field execution.
• Familiarity with hardware product lifecycles, manufacturing readiness, reliability validation, and service operations.

Benefits

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Job stability with startup vitality.
• Simple, non-corporate work culture that respects individual beliefs.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.